Applied Natural Language Processing Class Project Exhibition
Students from Info 256. Applied Natural Language Processing present their course final projects.
Drop in between 12 and 2 to meet the students, learn about their projects, and ask questions.
This course is taught by professor Marti Hearst and examines the state-of-the-art in applied natural language processing (also known as content analysis and language engineering), with an emphasis on how well existing algorithms perform and how they can be used (or not) in applications. Topics include part-of-speech tagging, shallow parsing, text classification, information extraction, incorporation of lexicons and ontologies into text analysis, and question answering.
A Poetic Hack
Byte-ing More Than We Can Chew (Bitcoin)
Categorizing Characters with NLP
FoodWise: Menu Insights
How Daters Present Themselves
Public Policy Planning
Role(models) in Film
Wells Fargo Social Media Challenge
Yelp Restaurant Recommender